Abstract
By using outlier data mining, this paper studied customs risk management in China. Our research contents are summarized as follows: First, we study the status of Customs risk management and we study other scholars’ research of the outlier data mining. Second, we introduce index of outliers and we use outlier data mining to establish a risk estimation model. Finally, we test the affectivity of this model by empirical analysis.
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